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Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

-22% su kodu: BOOKS
224,61 
Įprasta kaina: 287,96 
-22% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-30
-22% su kodu: BOOKS
224,61 
Įprasta kaina: 287,96 
-22% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-30
-22% su kodu: BOOKS
2025-03-31 224.61 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules.

Informacija

Autorius: Zekâi ¿En
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2024
Knygos puslapių skaičius: 684
ISBN-10: 3031295579
ISBN-13: 9783031295577
Formatas: 235 x 155 x 37 mm. Knyga minkštu viršeliu
Kalba: Anglų

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